Dosimetric Analysis of Microscopic Disease in SBRT for Lung Cancers. (December 2017)
- Record Type:
- Journal Article
- Title:
- Dosimetric Analysis of Microscopic Disease in SBRT for Lung Cancers. (December 2017)
- Main Title:
- Dosimetric Analysis of Microscopic Disease in SBRT for Lung Cancers
- Authors:
- Mao, Ronghu
Tian, Lingling
Zhang, You
Ren, Lei
Gao, Renqi
Yin, Fang-Fang
Ge, Hong - Abstract:
- Objective: The objective of this study is to theoretically and experimentally evaluate the dosimetry in the microscopic disease regions surrounding the tumor under stereotactic body radiation therapy of lung cancer. Methods: For simplicity, the tumor was considered moving along 1 dimension with a periodic function. The probability distribution function of the tumor position was generated according to the motion pattern and was used to estimate the delivered dose in the microscopic disease region. An experimental measurement was conducted to validate both the estimated dose with a probability function and the calculated dose from 4-dimensional computed tomography data using a dynamic thorax phantom. Four tumor motion patterns were simulated with cos 4 (x) and sin(x), each with 2 different amplitudes: 10 mm and 5 mm. A 7-field conformal plan was created for treatment delivery. Both films (EBT2) and optically stimulated luminescence detectors were inserted in and around the target of the phantom to measure the delivered doses. Dose differences were evaluated using gamma analysis with 3%/3 mm. Results: The average gamma index between measured doses using film and calculated doses using average intensity projection simulation computed tomography was 80.8% ± 0.9%. In contrast, between measured doses using film and calculated doses accumulated from 10 sets of 4-dimensional computed tomography data, it was 98.7% ± 0.6%. The measured doses using optically stimulated luminescenceObjective: The objective of this study is to theoretically and experimentally evaluate the dosimetry in the microscopic disease regions surrounding the tumor under stereotactic body radiation therapy of lung cancer. Methods: For simplicity, the tumor was considered moving along 1 dimension with a periodic function. The probability distribution function of the tumor position was generated according to the motion pattern and was used to estimate the delivered dose in the microscopic disease region. An experimental measurement was conducted to validate both the estimated dose with a probability function and the calculated dose from 4-dimensional computed tomography data using a dynamic thorax phantom. Four tumor motion patterns were simulated with cos 4 (x) and sin(x), each with 2 different amplitudes: 10 mm and 5 mm. A 7-field conformal plan was created for treatment delivery. Both films (EBT2) and optically stimulated luminescence detectors were inserted in and around the target of the phantom to measure the delivered doses. Dose differences were evaluated using gamma analysis with 3%/3 mm. Results: The average gamma index between measured doses using film and calculated doses using average intensity projection simulation computed tomography was 80.8% ± 0.9%. In contrast, between measured doses using film and calculated doses accumulated from 10 sets of 4-dimensional computed tomography data, it was 98.7% ± 0.6%. The measured doses using optically stimulated luminescence detectors matched very well (within 5% of the measurement uncertainty) with the theoretically calculated doses using probability distribution function at the corresponding position. Respiratory movement caused inadvertent irradiation exposure, with 70% to 80% of the dose line wrapped around the 10 mm region outside the target. Conclusion: The use of static dose calculation in the treatment planning system could substantially underestimate the actual delivered dose in the microscopic disease region for a moving target. The margin for microscopic disease may be substantially reduced or even eliminated for lung stereotactic body radiation therapy. … (more)
- Is Part Of:
- Technology in cancer research & treatment. Volume 16:Number 6(2017:Dec.)
- Journal:
- Technology in cancer research & treatment
- Issue:
- Volume 16:Number 6(2017:Dec.)
- Issue Display:
- Volume 16, Issue 6 (2017)
- Year:
- 2017
- Volume:
- 16
- Issue:
- 6
- Issue Sort Value:
- 2017-0016-0006-0000
- Page Start:
- 1113
- Page End:
- 1119
- Publication Date:
- 2017-12
- Subjects:
- microscopic disease -- 4DCT -- probability distribution function -- lung SBRT -- target motion
Oncology -- Periodicals
Cancer -- Diagnosis -- Periodicals
Cancer -- Treatment -- Technological innovations -- Periodicals
616.994 - Journal URLs:
- http://tct.sagepub.com/ ↗
http://www.tcrt.org ↗
http://www.sagepub.com ↗ - DOI:
- 10.1177/1533034617734689 ↗
- Languages:
- English
- ISSNs:
- 1533-0346
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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